Machine learning applications for predictive maintenance of weapon systems

The aim of this research project is to build up expertise in the exploitation of big data collected by weapon system sensors to perform predictive maintenance. We will apply machine learning techniques such as deep learning on historical data in order to train algorithms that can monitor the weapon system sensors in real-time and that can predict failures ahead of time.